10500208 8323 Heinrich Peters 3918 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275614 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 1.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 100 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "liblinear" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 21925365 description https://api.openml.org/data/download/21925365/description.xml -1 21925366 predictions https://api.openml.org/data/download/21925366/predictions.arff area_under_roc_curve 0.835069968790899 [0.83507,0.83507] average_cost 0 f_measure 0.9093809517536666 [0.963242,0.1875] kappa 0.1645386235005503 kb_relative_information_score -0.20797854789597012 mean_absolute_error 0.11670393342329011 mean_prior_absolute_error 0.12988972477049396 weighted_recall 0.9296663660955816 [0.99031,0.116883] number_of_instances 1109 [1032,77] precision 0.9054030954322629 [0.937615,0.473684] predictive_accuracy 0.9296663660955816 prior_entropy 0.36380676688852276 relative_absolute_error 0.8984847233258657 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.24658225069278203 root_relative_squared_error 0.9700768219621575 total_cost 0 unweighted_recall 0.5535965972012483 [0.99031,0.116883] area_under_roc_curve 0.8214285714285714 [0.821429,0.821429] area_under_roc_curve 0.8241758241758241 [0.824176,0.824176] area_under_roc_curve 0.8810679611650485 [0.881068,0.881068] area_under_roc_curve 0.7233009708737864 [0.723301,0.723301] area_under_roc_curve 0.8106796116504854 [0.81068,0.81068] area_under_roc_curve 0.8713592233009708 [0.871359,0.871359] area_under_roc_curve 0.9271844660194175 [0.927184,0.927184] area_under_roc_curve 0.8300970873786409 [0.830097,0.830097] area_under_roc_curve 0.7864077669902912 [0.786408,0.786408] area_under_roc_curve 0.8668515950069348 [0.866852,0.866852] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.926433442788583 [0.971963,0.25] f_measure 0.8973480522776298 [0.957746,0] f_measure 0.901452076807527 [0.957346,0.181818] f_measure 0.8887197056211139 [0.957746,0] f_measure 0.9134486599275331 [0.967136,0.222222] f_measure 0.9233516152947432 [0.966825,0.363636] f_measure 0.901452076807527 [0.957346,0.181818] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9350649350649349 [0.971429,0.4] kappa 0.23798627002288333 kappa -0.028836251287332113 kappa 0.14833759590792903 kappa -0.016276703967446498 kappa 0.20956256358087416 kappa 0 kappa 0.3375959079283886 kappa 0.14833759590792903 kappa 0.17625231910946135 kappa 0.3761814744801507 kb_relative_information_score -0.03266198896281516 kb_relative_information_score -0.363868659316473 kb_relative_information_score -0.17114325902212513 kb_relative_information_score -0.4000791257356132 kb_relative_information_score -0.16807383793350217 kb_relative_information_score -0.06797664176351648 kb_relative_information_score 0.052736405289727804 kb_relative_information_score -0.3510583836098478 kb_relative_information_score -0.36210645408100306 kb_relative_information_score -0.2144011819631858 mean_absolute_error 0.10048387426801349 mean_absolute_error 0.11930328966622333 mean_absolute_error 0.12268342818981479 mean_absolute_error 0.12927378921118277 mean_absolute_error 0.11429245085146734 mean_absolute_error 0.11108910227175509 mean_absolute_error 0.10310213104658461 mean_absolute_error 0.12901226629657694 mean_absolute_error 0.12701174509226912 mean_absolute_error 0.11073346937461079 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1249079453399885 number_of_instances 111 [104,7] number_of_instances 111 [104,7] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 110 [103,7] precision 0.9488943488943489 [0.945455,1] precision 0.8767666749318126 [0.93578,0] precision 0.8918084751418085 [0.935185,0.333333] precision 0.8604422604422604 [0.927273,0] precision 0.940950040950041 [0.936364,1] precision 0.9244244244244243 [0.944444,0.666667] precision 0.8918084751418085 [0.935185,0.333333] precision 0.9043722621704273 [0.93578,0.5] precision 0.9350325686774285 [0.953271,0.666667] predictive_accuracy 0.9459459459459459 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9454545454545454 prior_entropy 0.3400686187404258 prior_entropy 0.3400686187404258 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.3422054374333021 relative_absolute_error 0.8076498636906535 relative_absolute_error 0.9589129234783509 relative_absolute_error 0.928300591961968 relative_absolute_error 0.9781674413616562 relative_absolute_error 0.8648091380202362 relative_absolute_error 0.8405705719263169 relative_absolute_error 0.7801360843536547 relative_absolute_error 0.9761885931991761 relative_absolute_error 0.9610513815513392 relative_absolute_error 0.8865206218323739 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.24419244540685378 root_mean_squared_error 0.2152936873112057 root_mean_squared_error 0.24174745058587316 root_mean_squared_error 0.26129768286011773 root_mean_squared_error 0.2680254521580758 root_mean_squared_error 0.2505400544919174 root_mean_squared_error 0.2440048977469328 root_mean_squared_error 0.2242755825310748 root_mean_squared_error 0.26829018636877633 root_mean_squared_error 0.2588652845567436 root_mean_squared_error 0.22679783936875025 root_relative_squared_error 0.8853216877105068 root_relative_squared_error 0.9941037455642013 root_relative_squared_error 1.0103774329067536 root_relative_squared_error 1.0363921537341816 root_relative_squared_error 0.9687801833029528 root_relative_squared_error 0.9435102504686245 root_relative_squared_error 0.8672215721971138 root_relative_squared_error 1.0374158194218461 root_relative_squared_error 1.0009719137813295 root_relative_squared_error 0.9287668133667197 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 unweighted_recall 0.5714285714285714 [1,0.142857] unweighted_recall 0.49038461538461536 [0.980769,0] unweighted_recall 0.5527912621359223 [0.980583,0.125] unweighted_recall 0.49514563106796117 [0.990291,0] unweighted_recall 0.5625 [1,0.125] unweighted_recall 0.5 [1,0] unweighted_recall 0.6201456310679612 [0.990291,0.25] unweighted_recall 0.5527912621359223 [0.980583,0.125] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.638002773925104 [0.990291,0.285714] usercpu_time_millis 13.85974201548379 usercpu_time_millis 10.94673600164242 usercpu_time_millis 11.647588005871512 usercpu_time_millis 12.82706500205677 usercpu_time_millis 17.022502986947075 usercpu_time_millis 20.79153200611472 usercpu_time_millis 15.782188987941481 usercpu_time_millis 14.585223005269654 usercpu_time_millis 14.352097001392394 usercpu_time_millis 13.550760995713063 usercpu_time_millis_testing 0.65116400946863 usercpu_time_millis_testing 0.6380859995260835 usercpu_time_millis_testing 0.6303960108198225 usercpu_time_millis_testing 0.9938660077750683 usercpu_time_millis_testing 0.9907309868140146 usercpu_time_millis_testing 0.7975059997988865 usercpu_time_millis_testing 0.784691990702413 usercpu_time_millis_testing 0.7708040066063404 usercpu_time_millis_testing 0.8014060003915802 usercpu_time_millis_testing 0.7999429944902658 usercpu_time_millis_training 13.20857800601516 usercpu_time_millis_training 10.308650002116337 usercpu_time_millis_training 11.01719199505169 usercpu_time_millis_training 11.833198994281702 usercpu_time_millis_training 16.03177200013306 usercpu_time_millis_training 19.994026006315835 usercpu_time_millis_training 14.997496997239068 usercpu_time_millis_training 13.814418998663314 usercpu_time_millis_training 13.550691001000814 usercpu_time_millis_training 12.750818001222797 wall_clock_time_millis 13.863086700439453 wall_clock_time_millis 10.957479476928711 wall_clock_time_millis 11.652469635009766 wall_clock_time_millis 12.836694717407227 wall_clock_time_millis 17.04859733581543 wall_clock_time_millis 20.81918716430664 wall_clock_time_millis 15.794038772583008 wall_clock_time_millis 14.59646224975586 wall_clock_time_millis 14.361143112182617 wall_clock_time_millis 13.565778732299805 wall_clock_time_millis_testing 0.6554126739501953 wall_clock_time_millis_testing 0.6422996520996094 wall_clock_time_millis_testing 0.6344318389892578 wall_clock_time_millis_testing 0.9980201721191406 wall_clock_time_millis_testing 0.9977817535400391 wall_clock_time_millis_testing 0.8058547973632812 wall_clock_time_millis_testing 0.7944107055664062 wall_clock_time_millis_testing 0.7779598236083984 wall_clock_time_millis_testing 0.8077621459960938 wall_clock_time_millis_testing 0.8087158203125 wall_clock_time_millis_training 13.207674026489258 wall_clock_time_millis_training 10.315179824829102 wall_clock_time_millis_training 11.018037796020508 wall_clock_time_millis_training 11.838674545288086 wall_clock_time_millis_training 16.05081558227539 wall_clock_time_millis_training 20.01333236694336 wall_clock_time_millis_training 14.999628067016602 wall_clock_time_millis_training 13.818502426147461 wall_clock_time_millis_training 13.553380966186523 wall_clock_time_millis_training 12.757062911987305 weighted_recall 0.9459459459459459 [1,0.142857] weighted_recall 0.918918918918919 [0.980769,0] weighted_recall 0.918918918918919 [0.980583,0.125] weighted_recall 0.918918918918919 [0.990291,0] weighted_recall 0.9369369369369369 [1,0.125] weighted_recall 0.9279279279279279 [1,0] weighted_recall 0.9369369369369369 [0.990291,0.25] weighted_recall 0.918918918918919 [0.980583,0.125] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9454545454545454 [0.990291,0.285714]